About me

Hello! My name is Arthur Haonan Chen (陳皓楠). I’m a master’s student at the R2L Lab of the University of Waterloo, advised by Victor Zhong. I am a graduate student researcher at the Vector Institute.

I’m sitting at the intersection of Machine Learning (ML) and Natural Language Processing (NLP).

My primary interest is using natural languages to help ML systems better generalize onto new domains (i.e., distributions) and do new tasks after deployment. I’m particularly interested in:

• Language Grounding
• Continual Learning
• Retrieval Augmented Generation (RAG)

Before this, I delved into image signal processing (ISP) for low vision at Huawei Noah Ark’s Lab hosted by Vahid Partovi Nia, dynamic sparse training (compression) at Cerebras Systems.

I’ve also had the privilege to work with John Zelek, Jimmy Lin, and Wenhu Chen